01 / Co-Build

Forward-deployed engineering. Inside your team.

Our engineers work alongside your people, close to users and the systems they rely on. We turn operational problems into production AI, with decisions, code, and learning shared from day one.

Working inside your context
01Your people & workflows
02Your code & data
03Shared delivery & evaluation
04Production feedback

Close to the problem.
Accountable for making it work.

Built around a real need

Start with the work you want to change.

Make knowledge useful.

Search, research, and decision support grounded in your information.

From context to production

Get close. Build together. Keep improving.

A shared delivery loop, shaped by your users and the realities of your operation. Explore each stage.

Step 01

Embed

Work alongside the people doing the job. Understand their workflow, explore the existing systems, and agree how our engineers will work with your team.

You leave withA shared view of the workflow and constraints.

Embedded in the work

One working team. Shared context from day one.

Direct access to the engineers

Work with the people designing and building the system. Agree priorities, review progress, and make technical decisions together.

Your systems and ownership

Build in shared repositories and your agreed deployment environment, with code, architecture, and decisions documented as the work progresses.

Knowledge built into delivery

Pair on the hard parts, review evaluations together, and develop runbooks in use. Your team builds operating knowledge throughout the engagement.

Before we begin

A few practical questions.

Let’s make it practical

Where could embedded engineers move the work forward?

Tell us about the workflow, the people, and the constraints. We’ll discuss how to work alongside your team and define a useful first release.

Discuss your challengeA conversation with the people doing the work.